Linear response and moderate deviations: hierarchical approach. IV
Boris Tsirelson

TL;DR
This paper extends the Moderate Deviations Principle to splittable random fields integrated against test functions, advancing understanding in the context of dependent random structures.
Contribution
It establishes the MDP for splittable random fields, a case previously not well-understood, using a hierarchical approach.
Findings
MDP proven for splittable random fields
Enhanced understanding of moderate deviations in dependent structures
Methodology applicable to complex random fields
Abstract
The Moderate Deviations Principle (MDP) is well-understood for sums of independent random variables, worse understood for stationary random sequences, and scantily understood for random fields. Here it is established for splittable random fields integrated against test functions. Version 2: minor changes. Interval [0,1] replaced with [0,1) for better compatibility with Part V. Copyedit pages 3, 4, 6, 16, 22, 23.
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Taxonomy
TopicsProbability and Risk Models · Probabilistic and Robust Engineering Design · Statistical Distribution Estimation and Applications
